Prepare Data for ML APIs on Google Cloud: Challenge Lab Reviews

Menna A. · Reviewed about 2 years ago

ERRO

AQUILES F. · Reviewed about 2 years ago

challenging

Joeri J. · Reviewed about 2 years ago

Sayed Abdul S. · Reviewed about 2 years ago

Jun Sheng Tan -. · Reviewed about 2 years ago

Nice lab

sohail s. · Reviewed about 2 years ago

Jun Sheng Tan -. · Reviewed about 2 years ago

Michał P. · Reviewed about 2 years ago

Again, bucket not found with unclear instructions, disappointed with such quality. Bucket not found. even with the right command included

Jun Sheng Tan -. · Reviewed about 2 years ago

Paul A. · Reviewed about 2 years ago

Again, bucket not found with unclear instructions, disappointed with such quality

Jun Sheng Tan -. · Reviewed about 2 years ago

Having issues of not able to create data proc clusters

Jun Sheng Tan -. · Reviewed about 2 years ago

Salman H. · Reviewed about 2 years ago

AINDA NAO FUNCIONOU

AQUILES F. · Reviewed about 2 years ago

ok

ADRIAN A. · Reviewed about 2 years ago

José Luis C. · Reviewed about 2 years ago

Kingsley U. · Reviewed about 2 years ago

Files uploaded onto GCS bucket but tasks 3 and 4 not recognized as completed; - unclear how the tasks are checking whether the API calls have been made, and whether the commands need to be run in Cloud Shell, Dataproc SSH, self-created 'linux-instance' VM SSH or some other option; - could also be because the challenge lab didn't cover Video intelligence (which was supposed to be covered per the course overview) so the expected solutions may not match the provided instructions

Yingzhao O. · Reviewed about 2 years ago

Gabriel T. · Reviewed about 2 years ago

NANDANA M. · Reviewed about 2 years ago

guruprasad n. · Reviewed about 2 years ago

AINDA NAO FUNCIONOU

AQUILES F. · Reviewed about 2 years ago

Akshay p. · Reviewed about 2 years ago

Juliana M. · Reviewed about 2 years ago

Guilherme P. · Reviewed about 2 years ago